Evidence map›Paper›PMID 24611048›Full record

ArticleFrontiers in aging neuroscience2014

Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study.

Jean-Baptiste Mignardot, Thibault Deschamps, Eric Barrey, Bernard Auvinet, Gilles Berrut, Christophe Cornu, Thierry Constans, Laure de Decker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
18.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
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  7. Relationship between Muscle Strength and Gait Parameters in Healthy Older Women and Men.International journal of environmental research and public health · 2023
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  8. Article
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  13. Review
  14. Design and Evaluation of an Augmented Reality-Based Exergame System to Reduce Fall Risk in the Elderly.International journal of environmental research and public health · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Feature selection for elderly faller classification based on wearable sensors.Journal of neuroengineering and rehabilitation · 2017
    Article
  19. Observational
  20. Continuous Monitoring of Turning Mobility and Its Association to Falls and Cognitive Function: A Pilot Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Jean-Baptiste MignardotLaboratory "Motricité, Interactions, Performance" (UPRES EA 4334), University of Nantes Nantes, France ; Up-COURTINE Lab, Centre for Neuroprosthetics and Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Thibault DeschampsLaboratory "Motricité, Interactions, Performance" (UPRES EA 4334), University of Nantes Nantes, France.
Eric BarreyUnité de Biologie Intégrative des Adaptations à l'Exercice (Inserm U902) Genople, Université d'Evry Val d'Essonne Évry, France ; GABI, UMR-1313, INRA Jouy-en-Josas, France.
Bernard AuvinetService de Rhumatologie, Centre Hospitalier de Laval Laval, France.
Gilles BerrutLaboratory "Motricité, Interactions, Performance" (UPRES EA 4334), University of Nantes Nantes, France ; Gérontopôle des Pays de la Loire, CHU de Nantes Nantes, France.
Christophe CornuLaboratory "Motricité, Interactions, Performance" (UPRES EA 4334), University of Nantes Nantes, France.
Thierry ConstansGeriatrics Department, Centre Hospitalier Universitaire de Tours Tours, France.
Laure de DeckerGérontopôle des Pays de la Loire, CHU de Nantes Nantes, France.
Nantes Université · FRCentre Pays de la Loire · FRAgroParisTech · FRSociété Française de Rhumatologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothesized that gait features should be the most relevant variables for predicting the first fall. Clinical baseline characteristics (e.g., gender, cognitive function) were assessed in 259 home-dwelling people aged 66 to 75 that had never fallen. Likewise, global kinetic behavior of gait was recorded from 22 variables in 1036 walking tests with an accelerometric gait analysis system. Afterward, monthly telephone monitoring reported the date of the first fall over 24 months. A principal components analysis was used to assess the relationship between gait variables and fall status in four groups: non-fallers, fallers from 0 to 6 months, fallers from 6 to 12 months and fallers from 12 to 24 months. The association of significant principal components (PC) with an increased risk of first fall was then evaluated using the area under the Receiver Operator Characteristic Curve (ROC). No effect of clinical confounding variables was shown as a function of groups. An eigenvalue decomposition of the correlation matrix identified a large statistical PC1 (termed "Global kinetics of gait pattern"), which accounted for 36.7% of total variance. Principal component loadings also revealed a PC2 (12.6% of total variance), related to the "Global gait regularity." Subsequent ANOVAs showed that only PC1 discriminated the fall status during the first 6 months, while PC2 discriminated the first fall onset between 6 and 12 months. After one year, any PC was associated with falls. These results were bolstered by the ROC analyses, showing good predictive models of the first fall during the first six months or from 6 to 12 months. Overall, these findings suggest that the performance of a standardized walking test at least once a year is essential for fall prevention.

Indexed as

accelerometric devicefall-related injuriesgait analysisgait speedgait variabilityhome-dwelling peopleprincipal components analysisrisk of fall

Identifiers

PMID24611048
PMCPMC3933787
OpenAlexW2126342316

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.